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לפני 18 שעות
Location: Petah Tikva
Job Type: Full Time
We are building the next generation of AI-powered investigator tools . Our cloud-based AI platform delivers cutting-edge capabilities including multimodal analysis, embeddings, OCR, speech-to-text, face detection, image and text classification, and LLM completions through a scalable serverless architecture.
As a Senior Software Engineer on the AI Platform team, you will be part of the core team that designs, builds, maintains, and evolves the shared AI service platform that powers real investigative workflows at enterprise scale. You will help turn advanced AI concepts into production-grade serverless systems, shaping orchestration, retrieval, context, and backend architecture across the platform.
Requirements:
5+ years of backend engineering experience.
Deep expertise in at least one backend language with strong fundamentals in async programming, type systems, and clean API design.
Hands-on production experience with LLM orchestration, agent runtimes, tool-calling flows, or multi-step AI systems.
Experience designing multi-tenant SaaS systems with strict tenant data isolation.
Solid understanding of event-driven architecture and distributed system design.
A genuine passion for AI engineering and curiosity about fast-moving agentic systems, retrieval methods, and emerging model capabilities.
Experience with AWS serverless services: Lambda, ECS, API Gateway, SQS/SNS, S3, OpenSearch, Aurora PostgreSQL, Step Functions, DynamoDB.
Nice to Have:
Experience building production AI systems using RAG, retrieval pipelines, and related retrieval technologies.
Experience with infrastructure-as-code tools such as AWS CDK or Terraform.
Experience with Docker-based deployments and container registries.
Experience with vector databases, search index design, and retrieval infrastructure.
Familiarity with multimodality: video, image, text, and audio processing.
Experience working in privacy-sensitive, regulated, or security-critical environments.
Experience with Python and its ecosystem: async/await, type annotations, FastAPI or similar, Pydantic, and SQLAlchemy.
This position is open to all candidates.
 
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6 ימים
Location: Petah Tikva
Job Type: Full Time
CyberArk is looking for aSenior Software Engineerto join theSecrets Hubgroup and help evolve our modern, multi-cloud secrets management SaaS platform.
Secrets Hub integrates with AWS, Azure, GCP, and HashiCorp Vault to give organizations a centralized, secure, and seamless way to manage secrets across cloud environments. As a senior engineer, youll join a strong engineering team and contribute to the design, development, and scaling of core product services used by some of the largest enterprises in the world.
This is a hands-on role for someone passionate about solving deep technical problems, writing clean code, and working in a fast-paced, cloud-native environment.
Responsibilities:
Design, implement, and maintain secure and scalable backend services for Secrets Hub.
Collaborate with product managers, architects, and fellow engineers across multiple engineering teams.
Write clean, maintainable code in Python using AWS serverless architecture and AWS CDK.
Participate in system design discussions, architecture reviews, and code reviews.
Take part in the full development lifecycle, including planning, implementation, testing, deployment, and monitoring.
Investigate complex production issues and contribute to continuous improvement of reliability and observability.
Uphold high standards of quality, security, and performance.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or related field (or elite military tech unit alumni).
5+ years of hands-on software development experience, with strong coding skills in Python (or similar modern language).
Proven experience building and shipping production-grade SaaS or cloud-native services.
Familiarity with AWS cloud services, especially Lambda, Step Functions, DynamoDB, and related serverless components.
Strong system design and problem-solving skills.
Team player with excellent communication skills and a proactive mindset.
Preferred Qualifications:
Frontend development experience with React, PrimeReact, or TypeScript.
Experience with database development (Aurora RDS, DynamoDB).
Understanding of microservices and event-driven architecture.
Knowledge of secrets management, identity, or cloud security domains.
Background in enterprise-scale, high-availability, or regulated environments.
Experience with infrastructure-as-code tools such as AWS CDK or Terraform.
This position is open to all candidates.
 
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Requirements:
7+ years of active software engineering experience with a focus on building AI driven applications, machine learning systems, and microservices at large scale.
Proven experience building AI products serving at high scales, coupled with experience designing and developing Generative AI architectures.
Extensive knowledge of large language models (LLMs) and building agents at scale is a great plus.
Experience with LLM tools and frameworks such as LangChain, vLLM, and the HuggingFace toolkit.
Proficiency in Java and Python, as well as data oriented languages, tools, and frameworks like Spark.
Strong understanding of Software Design, Architecture, and working with cloud technologies, in particular AWS, and container technologies like Docker, Kubernetes, and KubeFlow/MLflow.
Solid software engineering fundamentals, including version control systems (Git, Github), the ability to write production-ready code, and an understanding of data structures, algorithms, and performance implications.
Experience with machine learning techniques (classification, regression, clustering), mathematics fundamentals (linear algebra, calculus, probability), and data processing tools (relational, NoSQL, stream processing).
Bachelor, Masters, or PhD degree in Computer Science or a related field, or equivalent practical/work experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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09/06/2026
Location: Petah Tikva
Job Type: Full Time
we are looking for a Sr Software Engineer.
What You Will Do:
Write Code That Secures the Platform
Develop security tooling, automation, and services as part of the Security R&D teams core engineering output.
Contribute code to product engineering codebases, working alongside product teams to embed security capabilities directly into the platform.
Build integrations with AI-powered services - both in-house and third-party - to automate and scale security workflows.
Write clean, tested, production-quality code that meets enterprise standards for reliability and performance.
Collaborate and Learn
Work alongside senior engineers and the AI Security Research team, learning the security domain while contributing strong software engineering fundamentals.
Participate in code reviews, design discussions, and sprint ceremonies, contributing to the teams engineering culture from day one.
Partner with product engineering teams during open contribution engagements, building relationships through quality work.
Grow Your Impact
Develop deep expertise in security engineering and AI security as a member of a team that operates at the cutting edge of both fields.
Take increasing ownership of components and features as you ramp up, with a clear path to broader technical leadership.
Stay curious about emerging AI/ML technologies and contribute ideas for how Security R&D can leverage them.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: owns the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.
Requirements:
5+ years of professional software engineering experience building production systems.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on proficiency in Python and Java. You are a software engineer first - writing production code is what you do.
Solid understanding of software engineering fundamentals: data structures, algorithms, system design, testing, and CI/CD practices.
Experience building services or applications in cloud environments with an understanding of scalability and reliability principles.
Collaborative mindset - you thrive in team environments, contribute to shared codebases, and communicate effectively with other engineers.
Passion for next-generation AI technologies and a desire to work at the intersection of software engineering and security. Deep security or AI expertise is not required - we will invest in your growth in both areas.
Preferred:
Any exposure to security concepts - application security, secure coding practices, vulnerability management, or security tooling.
Familiarity with AI/ML concepts, LLMs, or experience integrating AI services into applications.
Experience with container/Kubernetes environments or cloud-native development (AWS preferred).
Experience in a SaaS or enterprise software environment.
Demonstrated learning agility - a track record of quickly ramping up in new technical domains.
This position is open to all candidates.
 
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09/06/2026
Location: Petah Tikva
Job Type: Full Time
we are looking for a Sr Staff Software Engineer.
What You Will Do:
Lead Technical Design and Architecture
Drive architecture and design decisions for Security R&Ds capabilities, ensuring systems are built for enterprise scale, reliability, and maintainability.
Lead technical design reviews and serve as the senior engineering voice on security tooling, automation, and platform services built by the team.
Define technical standards, code quality expectations, and engineering best practices for the Security R&D team.
Evaluate and integrate third-party security services alongside in-house AI-powered capabilities to maximise security review coverage.
Build Security Capabilities at Platform Scale
Design and develop security tooling, automation, and platform-native services - both for internal use and as externally facing product features.
Contribute code directly into product engineering codebases where security domain expertise accelerates delivery and improves security outcomes.
Leverage unique platform advantages - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to build capabilities that external vendors cannot replicate.
Collaborate with the AI Security Research team on AI agent security tooling, bringing production engineering discipline to an emerging domain.
Mentor and Elevate the Team
Mentor junior and mid-level engineers, raising the technical bar across the team through code reviews, design guidance, and hands-on pairing.
Represent Security R&D in cross-functional discussions with product engineering leadership, demonstrating technical credibility as an engineering peer.
Contribute to hiring by helping define the technical interview bar and participating in candidate evaluations.
What Makes This Role Unique:
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: owns the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.
דרישות:
12+ years of progressive software engineering experience, with a track record of designing and building complex systems at enterprise scale.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on production experience with Python and Java. You are a builder who writes code daily, not an architect who only draws diagrams.
Deep expertise in distributed systems, scalability, high availability, and performance engineering in cloud environments.
Experience with security-related engineering - application security, infrastructure security, identity systems, fraud prevention, or trust & safety. You bring a security mindset to everything you build.
Familiarity with AI/ML systems, GenAI, or Agentic AI technologies. You dont need to be an ML researcher, but you should understand how these systems work and how to build tooling around them.
Experience contributing to large-scale product codebases in a collaborative engineering environment. You know how to earn trust with product engineering teams through code quality and delivery.
Strong technical communication skills - ability to articulate architecture decisions, write clear design documents, and influence technical direction across teams.
Preferred

Experience with container and Kubernetes security, runtime security, OPA policy enforcement, or service mesh security.
Background in building security products or fe המשרה מיועדת לנשים ולגברים כאחד.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Location: Petah Tikva
Job Type: Full Time
Idira is looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.
Requirements:
Your Experience:
Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience.
Extensive experience in software engineering, with a focus on building and deploying production-grade systems.
Proven experience with cloud platforms, particularly AWS services.
Strong programming skills in languages such as Python.
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs).
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance).
Preferred Qualifications
Experience building agentic AI systems or multi-agent workflows.
Contributions to open-source projects in the AI/ML space.
Experience with MLOps principles and tools for model deployment and monitoring.
Familiarity with cybersecurity concepts and secure software development practices.
Published research in relevant AI/ML fields.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8705684
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דיווח על תוכן לא הולם או מפלה
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סגור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
09/06/2026
Location: Petah Tikva
Job Type: Full Time
we are looking for a Principal Software Engineer.
What You Will Do:
Lead Technical Design and Architecture
Drive architecture and design decisions for Security R&Ds capabilities, ensuring systems are built for enterprise scale, reliability, and maintainability.
Lead technical design reviews and serve as the senior engineering voice on security tooling, automation, and platform services built by the team.
Define technical standards, code quality expectations, and engineering best practices for the Security R&D team.
Evaluate and integrate third-party security services alongside in-house AI-powered capabilities to maximise security review coverage.
Build Security Capabilities at Platform Scale
Design and develop security tooling, automation, and platform-native services - both for internal use and as externally facing product features.
Contribute code directly into ServiceNow product engineering codebases where security domain expertise accelerates delivery and improves security outcomes.
Leverage ServiceNows unique platform advantages - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to build capabilities that external vendors cannot replicate.
Collaborate with the AI Security Research team on AI agent security tooling, bringing production engineering discipline to an emerging domain.
Mentor and Elevate the Team
Mentor junior and mid-level engineers, raising the technical bar across the team through code reviews, design guidance, and hands-on pairing.
Represent Security R&D in cross-functional discussions with product engineering leadership, demonstrating technical credibility as an engineering peer.
Contribute to hiring by helping define the technical interview bar and participating in candidate evaluations.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: ServiceNow owns the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.
דרישות:
15+ years of progressive software engineering experience, with a track record of designing and building complex systems at enterprise scale.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on production experience with Python and Java. You are a builder who writes code daily, not an architect who only draws diagrams.
Deep expertise in distributed systems, scalability, high availability, and performance engineering in cloud environments.
Experience with security-related engineering - application security, infrastructure security, identity systems, fraud prevention, or trust & safety. You bring a security mindset to everything you build.
Familiarity with AI/ML systems, GenAI, or Agentic AI technologies. You dont need to be an ML researcher, but you should understand how these systems work and how to build tooling around them.
Experience contributing to large-scale product codebases in a collaborative engineering environment. You know how to earn trust with product engineering teams through code quality and delivery.
Strong technical communication skills - ability to articulate architecture decisions, write clear design documents, and influence technical direction across teams.
Preferred
Experience with container and Kubernetes security, runtime security, OPA policy enforcement, or service mesh security.
Background in המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Location: Petah Tikva
Job Type: Full Time
we are looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.
Requirements:
Your Experience:
Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience.
Extensive experience in software engineering, with a focus on building and deploying production-grade systems.
Proven experience with cloud platforms, particularly AWS services.
Strong programming skills in languages such as Python.
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs).
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance).
Preferred Qualifications
Experience building agentic AI systems or multi-agent workflows.
Contributions to open-source projects in the AI/ML space.
Experience with MLOps principles and tools for model deployment and monitoring.
Familiarity with cybersecurity concepts and secure software development practices.
Published research in relevant AI/ML fields.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8705636
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Location: Petah Tikva
Job Type: Full Time
Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Key Responsibilities
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.
Requirements:
Required Qualifications
You bring 5+ years of experience in backend or systems development. Experience with Python or Go is an advantage.
Youve built distributed, cloud-based systems that are scalable, secure, and high-performing, and youre comfortable working with AWS, GCP, or Azure.
Youre naturally curious and passionate about exploring new technologies and tools, especially in AI and agentic AI, and you love turning emerging ideas into real systems.
Youre proactive, take ownership of your work, and constantly strive for excellence and improvement in everything you do.
You communicate and collaborate effectively, enjoying close partnerships with multiple engineering teams to design and deliver complete, secure solutions.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Location: Be'er Sheva and Petah Tikva
Job Type: Full Time
Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.
Requirements:
You bring 8+ years of experience in backend and systems with a track record of owning large-scale or security-critical systems end-to-end.
Youve designed and operated distributed, cloud-based architectures that are secure, scalable, and reliable, and youre comfortable working with AWS, GCP, or Azure.
You have experience or a strong interest in identity, authentication, authorization, and secrets management, and youre excited to apply these principles to AI and agent frameworks-this will give you an edge.
You thrive in ambiguity, make high-impact technical decisions, and guide others through complex tradeoffs with confidence.
You communicate clearly and effectively, influencing decisions, aligning teams, and mentoring engineers across multiple functions.
Youre passionate about sharing knowledge, raising the technical bar, and multiplying the impact of your peers and the team.
You are self-driven, proactive, and organized, with a strong focus on delivering high-quality, secure, and scalable solutions that make a real difference.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8705593
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סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Location: Petah Tikva
Job Type: Full Time
Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As the Manager, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail - youll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.
Requirements:
You bring a Bachelors degree in Computer Science, Software Engineering, or equivalent practical experience.
You bring 3+ years of experience leading software engineering teams in a product-driven environment.
You bring 5+ years of hands-on backend or systems development experience, using languages such as Python, Go, Java, or C#.
You bring experience-or a strong interest-in identity, authentication, authorization, or secrets management, and youre excited to apply these principles to AI and agent frameworks.
Youre comfortable building cloud-native systems and working with modern infrastructure, CI/CD pipelines, and agile development practices.
Youre able to balance long-term architectural vision with fast-paced execution, especially in early-stage or high-growth environments.
You thrive in ambiguity, make high-impact technical decisions, and confidently guide others through complex tradeoffs.
You communicate clearly and effectively, aligning engineers, product managers, and stakeholders around technical direction.
Youre passionate about mentorship, knowledge sharing, and raising the technical bar across your team.
Youre self-driven, proactive, and organized, with a strong focus on delivering secure, scalable, and high-quality systems that make a real impact.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8705570
סגור
שירות זה פתוח ללקוחות VIP בלבד